期刊文献+

电梯动态分区算法及其遗传进化研究 被引量:3

The Research on Elevator Dynamic Zoning Algorithm and It's Genetic Evolution
下载PDF
导出
摘要 该文对具有不均匀楼层需求和楼层人数的电梯系统的上行高峰交通、下行高峰交通及层间交通进行分析,得到具有动态分区的电梯群控系统每个轿厢的等效往返一次运行时间RTT,并应用遗传算法来搜索能使各梯等效往返一次运行时间和乘客输送能力最优的分区方法。 This paper deduces every car's equivalent roundtrip time RTT in an elevator group control system with dy-namic zoning by analyzing the traffic of elevator system with unequal floor demand and population in up-peak traffic mode,down-peak traffic mode and interfloor traffic mode.The zoning arrangement with optimal equivalent roundtrip time and handling capacity of all cars is searched with genetic algorithm.
出处 《计算机工程与应用》 CSCD 北大核心 2001年第22期142-144,148,共4页 Computer Engineering and Applications
基金 国家自然科学基金(编号:69975013)资助
关键词 遗传算法 电梯群控系统 动态分区算法 Genetic Algorithm,Elevator Group Control System,Dynamic Zoning
  • 相关文献

参考文献3

  • 1Barney G C 彭克荣等(译).电校交通分析、设计与控制[M].中国建筑科学研究院建筑机械化研究所,1993..
  • 2Chan W L,Int J Elevator Engineering,1996年,1卷,47页
  • 3彭克荣(译),电梯交通分析、设计与控制M,1993年

同被引文献20

  • 1Y Sakai, K Kurosawa. Develop of elevator supervisory group control system with artificial intelligence[ J] .Hitachi Review, 1984,33:25 - 30.
  • 2M L Siikonen. Elevator traffic simulafion[J]. Simulation, 1993, 61 : 257 - 267.
  • 3H Ujihara,S Tsuji. The revolutionary AI-2100 elevator-group control system and the new intelligent option series [ J ]. Mitsubishi Electric Advance, 1988,45: 5 - 8.
  • 4H Ujihara, M Amano. The latest elevator group-control system [J]. Mitsubishi Electric Advance, 1994,67:10 - 12.
  • 5Cdtes R H, Barto A G. Elevator group control using multiple reinforcement learning agents[ J ]. Machine Learning, 1998, 33 (2) :235 - 262.
  • 6Kaelbling L P, Littlnan M L, Moore A W. Reinforcement learning: a survey [ J ]. Journal of Artificial Intelligence Research,1996,4:237 - 285.
  • 7R S Sutlon and A G Barto. Reinforcement Learning[M] .Cambridge,MA: MIT Press, 1998.
  • 8Rich S Sutton.Generalization in reinforcement learning: successful exan~es using sparse coarse coding[A] .D Touretzky ,M Mozer,M Hasselmo,Advances in Neural Infonmation Processing Systems 8[C].New York:MIT Press, 1996.1038- 1044.
  • 9Albus J S.A new approach to manipulator control: The cere-bellar model articulation controller(cmac) [ J ]. Jounlal of Dynamic Systems, Measurement, and Control, 1975,97 (3) : 220- 227.
  • 10Robert H. Crites,Andrew G. Barto.Elevator Group Control Using Multiple Reinforcement Learning Agents[J]Machine Learning (-),1998(23).

引证文献3

二级引证文献22

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部